SILAGE: Memory-Efficient, Full-Gradient-Free Nonconvex Optimization for Nested Finite Sums
SILAGE is a memory-efficient, full-gradient-free method for nonconvex optimization over nested double finite-sum problems, removing periodic full-gradient refreshes while using only O(n) memory and adapting to across- and within-group data heterogeneity.
Jun 14, 2026